/memory-profiler

name: memory-profiler
description: Diagnose memory inefficiencies, capture high-resolution memory profiles, and execute architectural refactoring across C++, Rust, TypeScript/Node.js, .NET, and Python. Use when troubleshooting memory leaks, out-of-memory (OOM) errors, or heap fragmentation.
metadata:
  disable-model-selection: "true"

Memory Profiler

This skill provides a framework for diagnosing memory inefficiencies, capturing memory profiles, and refactoring systems across several programming languages.

Core Concepts

• **Memory Wall**: Speed and efficiency are constrained by memory spatial

locality, access patterns, and allocation overhead.

• **Fragmentation**: Frequent allocations/deallocations cause heap memory to

fragment, forcing OS to allocate additional pages.

• **Data-Oriented Design (DOD)**: Refactoring from Array of Structures (AoS) to

Structure of Arrays (SoA) guarantees homogenous data fields are packed tightly, optimizing CPU cache usage and minimizing RAM latency.

Language Specific Guides

For instructions on memory profiling, tooling workflows, and refactoring strategies for a specific language, load the corresponding reference document:

• **C++**: See [references/cpp.md](references/cpp.md) for Valgrind, Heaptrack,

Memory Pools, and SSO.

• **Rust**: See [references/rust.md](references/rust.md) for Jemallocator, Dhat,

Collection Bounding, Cow, and Arc.

• **TypeScript & Node.js**: See [references/node.md](references/node.md) for V8

Inspector, Clinic.js, Object Pooling, and Closure scope mitigation.

• **.NET (C#)**: See [references/dotnet.md](references/dotnet.md) for

dotnet-counters, dotnet-gcdump, ArrayPool, and struct conversions.

• **Python**: See [references/python.md](references/python.md) for Tracemalloc,

Memray, `__slots__`, Generators, and String Interning.

Use these files to perform high-level memory analysis, locate leaks, and apply the appropriate refactoring pattern.